Keywords
JU-algebra, Q-Fuzzy JU-subalgebra, Q-Fuzzy JU- Ideal, Doubt Q-Fuzzy JU-algebra, Normal Q-Fuzzy JU-algebra, Level subsets
JU-algebras, an important class in abstract algebra, are extended here by incorporating fuzzy set theory to handle uncertainty in algebraic structures. In this study, we apply the concept of Q-fuzzy sets to JU-subalgebras and JU-ideals in JU-algebra.
The study defines Q-fuzzy JU-subalgebras and Q-fuzzy JU-ideals as subsets of a JU-algebra. It also explores lower and upper level subsets of these fuzzy structures to analyze their properties. Additionally, the concepts of Doubt and Normal Q-fuzzy JU-subalgebras and Q-fuzzy JU-ideals are introduced, offering a way to deal with varying degrees of uncertainty and regularity in these algebraic structures. Supportive concepts relevant to this study are presented, along with illustrative examples.
The study introduces and defines new types of fuzzy structures in JU-algebras, such as Q-fuzzy JU-subalgebras and Q-fuzzy JU-ideals, enhancing classical JU-algebra theory. It also examines key properties of these structures, including their lower and upper level subsets, and investigates specific cases like Doubt and Normal Q-fuzzy structures, paving the way for further exploration of fuzzy algebra in mathematical and applied contexts.
JU-algebra, Q-Fuzzy JU-subalgebra, Q-Fuzzy JU- Ideal, Doubt Q-Fuzzy JU-algebra, Normal Q-Fuzzy JU-algebra, Level subsets
After fuzzy subsets were defined by Ref. 1, several researchers explored Q-fuzzy sets in many algebraic structures. In 2001, Ref. 2 introduced the concept of Q-fuzzy subalgebras within BCI/BCK-algebras. Subsequently, Ref. 3 explored Q-fuzzy sets and their level subsets in UP-algebras. Additionally, Ref. 4 presented the concept of Doubt fuzzy ideals in BF-algebras, while Ref. 5 discussed Doubt Fuzzy Ideals of B-Algebras. In 2018, Ref. 6 further contributed by introducing the normalization of fuzzy B-ideals in B-algebra. The concept of JU-algebras was first proposed by Ref. 7 in 2020, and in 2022, Ref. 8 investigated ideals and subalgebras of JU-algebras.
Fuzzy sets in general can be applied in the area of medicine, computer science, cyber security and cryptography and others. In medical diagnosis, symptoms often lack clear-cut boundaries, making it challenging to classify them strictly. For example, blood sugar levels in diabetes can vary over a range, and fuzzy sets help model these varying degrees of health conditions. Using fuzzy set membership functions, a blood glucose level of 160 mg/dL could be assigned a degree of membership, such as 0.2 for low levels, 0.5 for medium levels, and 1 for high levels, based on predefined thresholds.
Consider a Q-fuzzy JU-algebra as follows:
We can see that membership degree 0.2 mean that the patient medical condition is pre-diabetes, while membership degree 1 means the medical condition of an individual is hypoglycemia. Which helps the doctors to precisely measure and make robust decisions in diagnosis.
Despite its various applications, JU-algebra still requires further development. This motivates us to introduce the notion of a Q-fuzzy JU-subalgebras and a Q-fuzzy JU-ideals of JU-algebra and proved some results. We proved that the lower and upper level subsets of a Q-fuzzy JU-subalgebra or Q-fuzzy JU-ideal are also a JU-subalgebra or JU-ideals respectively. Additionally, we studied Doubt of Q-fuzzy JU-subalgebras and Doubt of Q-fuzzy JU-ideals of JU-algebra and investigated some of their properties. We proved that the Q-fuzzy subset of a JU-algebra is a Q-fuzzy JU-subalgebra or Q-fuzzy JU-ideal if and only if its complement is a Doubt Q-fuzzy subalgebra and Doubt of Q-fuzzy ideal, respectively. Furthermore, we proved that a normal Q-fuzzy JU-subalgebras or Q-fuzzy JU-ideals generated by any other Q-fuzzy JU-subalgebra or Q-fuzzy JU-ideals is also normal. We also studied the connection between Normal and Doubt of Q-fuzzy JU-subalgebras and Q-fuzzy JU-ideals of JU-algebra and obtained some important properties.
7 JU-algebra is an algebra of type with a binary operation and a fixed element 1 if it holds , :
In a JU-algebra X, we can define a partial ordering “≤” by Putting if and only .
8A nonempty subset S of a JU-algebra X is called a subalgebra of X if
8A nonempty subset J of a JU-algebra X is said to be a JU-ideal of X if it satisfies:
3A Q-fuzzy set in a nonempty set X (or a Q-fuzzy subset of X) is an arbitrary function where Q is a nonempty set and [0, 1] is the unit segment of the real line.
3let η be a Q-fuzzy set in X, .The set is called an upper-level subset of η. And the set is called a lower-level subset of η.
10If η be a Q-fuzzy set in a set X. Then the complement denoted by , is the Q-fuzzy subset of X given by and
4let be a fuzzy subset of a JU-algebra X and The fuzzy sets and of X are defined as follows:
and It is evident that , , and
6A fuzzy set μ of a JU-algebra X is said to be normal if there exists such that .
In this section we discuss and investigate a new notion of Q-fuzzy JU-subalgebras in JU-algebras and study their related properties.
Let X be a JU-algebra, a Q-fuzzy set η in X is called Q-fuzzy JU-subalgebra of X if for any
Let in which is defined by the following table ( Table 1).7 Clearly, is a JU-algebra. Let and we define a Q-fuzzy set : by Routine calculation gives that is a Q-fuzzy JU-subalgebra of X ( Table 2).
If η is a Q-fuzzy JU-subalgebra of a JU-algebra X. Then and .
Suppose η be a Q-fuzzy JU-subalgebra of a JU-algebra X.
Since, ............... (Lemma no. 1 c)
Let η be a Q-fuzzy set in a JU-algebra X, The set is called an upper-level subset of η. And the set is called a lower-level subset of η.
Clearly, for any if , then but if then .
A Q-fuzzy set η of a JU-algebra X is a Q-fuzzy subalgebra if and only if for every , and is a JU-subalgebra of X.
Proof: Suppose that is a Q-fuzzy subalgebra of a JU-algebra X and . For any such that and implies that
Hence, is a subalgebra of X.
Conversely, if ηt is a subalgebra of X. Let x, y ηt and there exist such that and .
Take, . By assumption is a subalgebra of X, we have then is a Q-fuzzy JU-subalgebra of X.
A Q-fuzzy set η of a JU-algebra X is a Q-fuzzy subalgebra if and only if for every and , is a JU-subalgebra of X.
It is straight forward by theorem 3.
Let in which is defined by the following table ( Table 3).7
Clearly, is a JU-algebra. Let and we define a Q-fuzzy set by:
Routine calculation gives that η is a Doubt Q-fuzzy JU-subalgebra of X ( Table 4).
If is a Doubt Q-fuzzy JU-subalgebra of a JU-algebra X. Then and .
Suppose η be a Doubt Q-fuzzy JU-subalgebra of a JU- algebra X.
Since, .................. (Lemma no. 1 c)
For every subalgebra of a JU-algebra X, it can be realized as a level subalgebra of some Doubt Q-fuzzy JU-subalgebra of X.
Let X be a subalgebra of a JU-algebra X, and let η be a Q-fuzzy set in X defined by:
Where is fixed. Clearly, .
We went to prove that η is a Doubt Q-fuzzy subalgebra of X.
If and then
If at most one of and then at least one of and is equal to t. Thus
A Q-fuzzy subset η of a JU-algebra X is a Q-fuzzy subalgebra of X if and only if its complement ηc is a Doubt Q-fuzzy subalgebra of X.
Let η be a Q-fuzzy subalgebra of X and let x, y X.
Conversely, suppose is a Doubt Q-fuzzy subalgebra of X.
A Q-fuzzy JU-subalgebra η of X is said to be normal if there exists such that
Consider we construct the following table.
Clearly, (X, ◦, 1) is a JU-algebra ( Table 5).7
Let given a Q-fuzzy set then it gives η is a normal Q-fuzzy JU-subalgebra of X( Table 6).
If η is a normal Q-fuzzy JU-subalgebra of a JU-algebra X, then
Suppose η be normal Q-fuzzy JU-subalgebra of a JU-algebra X.
Since, .......................( Lemma 2)
But,
Therefore, .
For a Q-fuzzy JU-subalgebra of η of X, we can generate a normal fuzzy subalgebra of X which contains η.
Proof: Let η be a Q-fuzzy JU-subalgebra of X. Define a Q-fuzzy subset of X as:
is normal Q-fuzzy JU-algebra of X. Clearly, thus is a normal JU-subalgebra of X which contains η.
If η itself is normal then If η is a Q-fuzzy JU-subalgebra of X then
It is straight forward by theorem 9.
Let η be a Q-fuzzy JU-subalgebra of X. If η contains a normal Q-fuzzy JU-subalgebra of X generated by any other Q-fuzzy JU-subalgebra of X then η is normal.
Let λ be a Q-fuzzy JU-subalgebra of X. by theorem 9 and is a normal Q-fuzzy JU-subalgebra of X. i.e. by Lemma 8. Then let η is a Q-fuzzy JU-subalgebra of X such that then
Put x = 1 η (1, q) ≥ = 1
. Hence η is normal.
Let η be a Q-fuzzy JU-subalgebra of X and let be an increasing function. Define a Q-fuzzy set by then
Let η be a Doubt Q-fuzzy JU-subalgebra of X and let be a decreasing function. Define a Q-fuzzy set by then
In this section we discuss and investigate new notion of Q-fuzzy JU-ideals in JU-algebras and study their related properties.
Let X be a JU-algebra, a Q-fuzzy set η in X is called Q-fuzzy JU-ideal of X if it satisfies the following conditions:
(See table 3.1 from example 3) consider , and let given a Q-fuzzy set by Routine calculation gives that η is a Q-fuzzy JU-ideal of X ( Table 7).
Every Q-fuzzy JU-ideals of a JU-algebra X is order reversing.
If η is a Q-fuzzy JU-ideals of X, then η ((x ◦ y) ◦ y, q) ≥ η(x, q).
Since (x◦ [(x◦y) ◦y]) = 1.......................... (Lemma no.1e)
Now, ,
A Q-fuzzy ideal of a JU- algebra X is Q-fuzzy JU-subalgebra when for any and .
Let η be a Q-fuzzy set in a JU-algebra X and let Then η is a Q-fuzzy JU-ideal of X if and only if the upper level subset is a JU-ideal of X.
Suppose η be a Q-fuzzy JU-ideal in a JU-algebra X and
Let and implies that and then
This implies that y and hence is a JU-ideal of X.
Conversely, assume that the upper level subset ηt is a JU-ideal of X.
Further, let we assume that there exist some x0 X such that
and , which is contradict to our assumption that is a JU-ideal of X.
Therefore, .
And
, a contradiction, since is a JU-ideal of X. Therefore, for any and
For a Q-fuzzy JU-ideal of η of X, we can generate a normal fuzzy ideal of X which contains η.
Let η be a Q-fuzzy JU-ideal of X. Define a Q-fuzzy subset of X as:
Let
is normal Q-fuzzy JU-algebra of X.
Clearly thus is a normal JU-ideal of X which contains η.
If η itself is normal then . And if is a Q-fuzzy JU-ideal of X then
It is straight forward by theorem 22.
Let η is a Q-fuzzy JU-ideal of X. If η contains a normal Q-fuzzy JU-ideal of X generated by any other Q-fuzzy JU- ideal of X then η is normal.
Let λ be a Q-fuzzy JU- ideal of X. By theorem 22 is a normal Q-fuzzy JU-ideal of X. i.e., = 1 by Lemma 21
Let η is a Q-fuzzy JU-ideal of X such that then Put
but,
Therefore,
Let η be a Q-fuzzy JU- ideal of X and let be an increasing function. Define a Q-f fuzzy set by then
Let η be a Doubt Q-fuzzy JU- ideal of X and let be a decreasing function. Define a Q-fuzzy set then
In this study, we discussed the Q-fuzzy JU-subalgebras and Q-fuzzy JU-ideals of JU-algebra and investigated several related properties. We proved that the lower and upper level subsets of a Q-fuzzy JU-subalgebra or Q-fuzzy JU-ideal are also a JU-subalgebra or JU-ideals. Additionally, we studied Doubt of Q-fuzzy JU-subalgebras and Doubt of Q-fuzzy JU-ideals of JU-algebra and investigated some of their properties. We proved that the Q-fuzzy subset of a JU-algebra is a Q-fuzzy JU-subalgebra or Q-fuzzy JU-ideal if and only if its complement is a Doubt Q-fuzzy subalgebra and Doubt of Q-fuzzy ideal, respectively. Furthermore, we proved that a normal Q-fuzzy JU-subalgebras or Q-fuzzy JU-ideals generated by any other Q-fuzzy JU-subalgebra or Q-fuzzy JU-ideals is also normal. We also studied the connection between Normal and Doubt of Q-fuzzy JU-subalgebras and Q-fuzzy JU-ideals of JU-algebra and obtained some important properties. The findings of this research are expected to enrich the theory of Q-fuzzy JU-subalgebras and Q-fuzzy JU-ideals, based on Q-fuzzy sets, and will serve as a base for further study on this concept.
Selamawit Hunie Gelaw: Conceptualization, data curation, formal analysis, Investigation, Methodology, and original draft preparation. Birhanu Assaye Alaba and Mihret Alamneh Taye: Conceptualization, Methodology, supervision, Validation, writing review and editing. All authors have read and agreed to the published version of the manuscript.
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Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Abstract Algebra, Sets, Groups , Rings, Modules, Fuzzy sets
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Algebras including logical and classical with its applications in different fields of science and technology
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
References
1. Şanlıbaba İ, Jana C: A novel method for decision-making approach using multi-fuzzy soft systems with applications in analyzing the ımpact of two distinct drug categories. Computational and Applied Mathematics. 2024; 43 (5). Publisher Full TextCompeting Interests: No competing interests were disclosed.
Reviewer Expertise: Fuzzy set, fuzzy logic, Decision makin support, Artificial intelligient, Fuzzy soft set.
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